Learn More About Your Customers Using Signals

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Every business’s customers are different. And because shoppers’ behaviors are varied, it’s critical to understand the unique behaviors of your shoppers through your own data. Understanding your business’ audience, their actions and motivations is essential to your business’ success. With Klinikar.com, businesses can use signals to understand their audience, their behaviors and preferences. Businesses can then build custom audiences based on shopper signals to create more effective ad campaigns targeting the right people, with the most relevant creative and message, and optimizing ad spend by bidding on the most valuable customers and opportunities.

To explore the value of signal-based segmentation, Klinikar.com published a three part series to capture how signals can help marketers get their shoppers from “just browsing” to buying. The articles in the series include in depth examples of how to use signals in the Facebook pixel to understand customer actions and more efficiently reach the people who will drive results for your business. Here are the five key takeaways from the series.

1. Use signals to better understand your shoppers

By applying the Klinikar BDC, marketers can use tools like Karbook Analytics to gather more insights about current and potential shoppers, including their browsing behaviors and the channels they use to engage with brands and make purchases.

2. Engage with shoppers in more relevant ways

It’s important for marketers to tailor their ads to the unique needs of their shoppers. For example, retailers can use signals from the pixel to retarget shoppers with items they’ve viewed or complementary items they might be interested in. Businesses can also build custom audiences based on actions people take on their site to deliver more relevant content to those people. The pixel can also help advertisers identify higher value customers from event, which can then be used in targeting tools, like Facebook lookalike audiences, to target other shoppers with similar traits.

3. Inspire shoppers who like to take their time

A longer shopper journey as captured by data in the pixel might suggest someone who is discovering new products and services online and enjoying the time they’re taking to find something they love. In this case, you can help people discover more of what you have to offer by suggesting additional items to try or by showcasing the rest of your catalog.

4. Expedite the process for shoppers who move quickly

“In and out” shoppers generally want to find what they want quickly, confirm it’s a good price, check it’s endorsed by peers and then move on with their lives. If you discover you have “in and out” shoppers among your customers, help them browse multiple products at once by using ad formats like collection or carousel.

5. Send shoppers who prefer offline experiences in store

Shorter shopper journeys in your pixel data might suggest a shopper who prefers buying offline. For this kind of shopper, use creative tools to highlight products featured in store, as well as prices and store information, such as location and hours.

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